------------------------------------------------------------------------------------------------------------------
      name:  <unnamed>
       log:  C:\Users\kgoidel\Documents\Media_Bias_log.log
  log type:  text
 opened on:   3 Dec 2020, 11:15:41

. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias1 sdem wdem ldem lrep wrep srep polint, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        986
Number of PSUs     =       986                  Population size   = 992.513382
                                                Subpop. no. obs   =        801
                                                Subpop. size      = 785.463311
                                                Design df         =        985

                                                Censoring of obs:
                                                   Uncensored     =        572
Limits: lower = 0                                  Left-censored  =        191
        upper = 10                                 Right-censored =         38

                                                F(   7,    979)   =      26.48
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   2.986989   .5380663     5.55   0.000     1.931101    4.042877
              wdem |    .898813   .6816979     1.32   0.188    -.4389341     2.23656
              ldem |   2.017138   .5330704     3.78   0.000     .9710534    3.063222
              lrep |  -3.473023   .7850414    -4.42   0.000    -5.013569   -1.932477
              wrep |   -2.54915    .676887    -3.77   0.000    -3.877457   -1.220844
              srep |  -2.395545    .683514    -3.50   0.000    -3.736856   -1.054234
            polint |  -.6515542   .1957646    -3.33   0.001    -1.035718   -.2673905
             _cons |   4.445758   .5113523     8.69   0.000     3.442293    5.449223
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   12.09391   1.403244                      9.631213    15.18631
------------------------------------------------------------------------------------

. 
. estimates store bias1A

. 
. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 sdem wdem ldem lrep wrep srep polint, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        985
Number of PSUs     =       985                  Population size   =  993.60134
                                                Subpop. no. obs   =        800
                                                Subpop. size      = 786.551269
                                                Design df         =        984

                                                Censoring of obs:
                                                   Uncensored     =        510
Limits: lower = 0                                  Left-censored  =        214
        upper = 10                                 Right-censored =         76

                                                F(   7,    978)   =      30.69
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   4.379962   .6521554     6.72   0.000     3.100186    5.659737
              wdem |   1.653859   .5966798     2.77   0.006     .4829477     2.82477
              ldem |   2.184505   .6928858     3.15   0.002     .8248011    3.544208
              lrep |  -4.505523   .7866935    -5.73   0.000    -6.049312   -2.961733
              wrep |  -2.379638   .7334566    -3.24   0.001    -3.818957   -.9403187
              srep |  -2.855753   .8225023    -3.47   0.001    -4.469814   -1.241693
            polint |  -.6494907   .2488531    -2.61   0.009    -1.137834   -.1611469
             _cons |   4.175494   .5103216     8.18   0.000      3.17405    5.176937
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   15.17975   1.936717                      11.81761    19.49842
------------------------------------------------------------------------------------

. 
. estimates store bias2A

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias1 sdem wdem ldem lrep wrep srep, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        999
Number of PSUs     =       999                  Population size   = 998.055327
                                                Subpop. no. obs   =        431
                                                Subpop. size      = 442.248601
                                                Design df         =        998

                                                Censoring of obs:
                                                   Uncensored     =        267
Limits: lower = 0                                  Left-censored  =        138
        upper = 10                                 Right-censored =         26

                                                F(   6,    993)   =      27.21
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   4.707411   .9027497     5.21   0.000     2.935906    6.478917
              wdem |   3.940352   1.139754     3.46   0.001     1.703762    6.176941
              ldem |   4.349313   .9091143     4.78   0.000     2.565318    6.133308
              lrep |  -3.489469   1.384518    -2.52   0.012    -6.206369   -.7725694
              wrep |  -2.202683   1.186593    -1.86   0.064    -4.531187    .1258208
              srep |  -1.752519    1.01955    -1.72   0.086    -3.753228    .2481888
             _cons |   1.165383   .7782296     1.50   0.135    -.3617713    2.692537
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|    15.3186   2.544082                      11.05813    21.22054
------------------------------------------------------------------------------------

. 
. estimates store bias1B

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias2 sdem wdem ldem lrep wrep srep, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 998.920371
                                                Subpop. no. obs   =        430
                                                Subpop. size      = 443.113644
                                                Design df         =        997

                                                Censoring of obs:
                                                   Uncensored     =        227
Limits: lower = 0                                  Left-censored  =        149
        upper = 10                                 Right-censored =         54

                                                F(   6,    992)   =      27.94
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   6.113555   1.052209     5.81   0.000     4.048757    8.178354
              wdem |   4.328891   1.194634     3.62   0.000     1.984606    6.673176
              ldem |   4.411326   1.010663     4.36   0.000     2.428055    6.394597
              lrep |  -4.168615   1.374945    -3.03   0.002    -6.866733   -1.470496
              wrep |  -3.074738   1.261681    -2.44   0.015    -5.550593   -.5988824
              srep |  -2.935673   1.240392    -2.37   0.018    -5.369752   -.5015935
             _cons |     1.2207   .8590459     1.42   0.156    -.4650454    2.906446
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   19.64397   3.656004                       13.6338     28.3036
------------------------------------------------------------------------------------

. 
. estimates store bias2B

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias1 sdem wdem ldem lrep wrep srep daysprior, 
> ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        999
Number of PSUs     =       999                  Population size   = 999.317882
                                                Subpop. no. obs   =        370
                                                Subpop. size      =  343.21471
                                                Design df         =        998

                                                Censoring of obs:
                                                   Uncensored     =        305
Limits: lower = 0                                  Left-censored  =         53
        upper = 10                                 Right-censored =         12

                                                F(   7,    992)   =       6.91
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   .9637974    .529185     1.82   0.069    -.0746456     2.00224
              wdem |  -.8358002   .7093965    -1.18   0.239     -2.22788    .5562796
              ldem |   .0280808   .5278748     0.05   0.958    -1.007791    1.063953
              lrep |  -2.841526   .8872179    -3.20   0.001    -4.582552   -1.100499
              wrep |  -2.760667     .75894    -3.64   0.000    -4.249968   -1.271366
              srep |  -2.062823   1.159405    -1.78   0.076    -4.337976    .2123287
         daysprior |   .0643692   .0584415     1.10   0.271    -.0503131    .1790515
             _cons |   2.642373   1.766911     1.50   0.135    -.8249132    6.109659
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   8.025042   1.307032                      5.829678    11.04715
------------------------------------------------------------------------------------

. 
. estimates store bias1C

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias2 sdem wdem ldem lrep wrep srep, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        999
Number of PSUs     =       999                  Population size   = 999.540797
                                                Subpop. no. obs   =        370
                                                Subpop. size      = 343.437625
                                                Design df         =        998

                                                Censoring of obs:
                                                   Uncensored     =        283
Limits: lower = 0                                  Left-censored  =         65
        upper = 10                                 Right-censored =         22

                                                F(   6,    993)   =       8.54
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   1.736266   .6782208     2.56   0.011     .4053637    3.067168
              wdem |   .0555225   .5691432     0.10   0.922    -1.061332    1.172377
              ldem |   .1428241   .8283508     0.17   0.863    -1.482685    1.768333
              lrep |  -4.688919    .862348    -5.44   0.000    -6.381142   -2.996696
              wrep |   -2.03242   .9214877    -2.21   0.028    -3.840696   -.2241446
              srep |  -1.964391   1.201251    -1.64   0.102    -4.321658    .3928764
             _cons |   4.009219   .3136165    12.78   0.000     3.393795    4.624642
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.30681   1.768587                      7.360138     14.4332
------------------------------------------------------------------------------------

. 
. estimates store bias2C

. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep srep polint, ul
>  ll 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        983
Number of PSUs     =       983                  Population size   = 990.974549
                                                Subpop. no. obs   =        798
                                                Subpop. size      = 783.924478
                                                Design df         =        982

                                                Censoring of obs:
                                                   Uncensored     =        510
Limits: lower = 0                                  Left-censored  =        212
        upper = 10                                 Right-censored =         76

                                                F(   8,    975)   =      53.47
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .7972239   .0825071     9.66   0.000     .6353135    .9591343
              sdem |   2.588603   .5593795     4.63   0.000     1.490886     3.68632
              wdem |    1.16979   .5708269     2.05   0.041     .0496089     2.28997
              ldem |   .9821957   .5745944     1.71   0.088    -.1453783     2.10977
              lrep |  -2.633948   .7127983    -3.70   0.000    -4.032731   -1.235165
              wrep |  -.8657132   .5887287    -1.47   0.142    -2.021024    .2895977
              srep |  -1.463727   .6907989    -2.12   0.034    -2.819339   -.1081153
            polint |  -.3477071   .2411078    -1.44   0.150    -.8208528    .1254387
             _cons |    .699224   .6515411     1.07   0.283    -.5793489    1.977797
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|    10.4273   1.375935                       8.04846    13.50923
------------------------------------------------------------------------------------

. 
. estimates store lag1

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep sre
> p, ul ll 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        997
Number of PSUs     =       997                  Population size   = 996.975698
                                                Subpop. no. obs   =        429
                                                Subpop. size      = 441.168971
                                                Design df         =        996

                                                Censoring of obs:
                                                   Uncensored     =        227
Limits: lower = 0                                  Left-censored  =        148
        upper = 10                                 Right-censored =         54

                                                F(   7,    990)   =      42.58
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .9627589   .1233563     7.80   0.000     .7206907    1.204827
              sdem |   2.744332     .86455     3.17   0.002     1.047783     4.44088
              wdem |   1.601347   .9740405     1.64   0.100    -.3100603    3.512754
              ldem |   1.223138   .8107012     1.51   0.132      -.36774    2.814017
              lrep |  -2.402155   1.192475    -2.01   0.044    -4.742207   -.0621027
              wrep |  -1.641304   .9330861    -1.76   0.079    -3.472345    .1897358
              srep |  -1.669755   .7519432    -2.22   0.027     -3.14533   -.1941803
             _cons |  -.9444013   .6324931    -1.49   0.136    -2.185573    .2967707
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.96185   1.819842                      7.914053    15.18339
------------------------------------------------------------------------------------

. 
. estimates store lag2

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep srep
> , ul ll 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 998.858679
                                                Subpop. no. obs   =        369
                                                Subpop. size      = 342.755507
                                                Design df         =        997

                                                Censoring of obs:
                                                   Uncensored     =        283
Limits: lower = 0                                  Left-censored  =         64
        upper = 10                                 Right-censored =         22

                                                F(   7,    991)   =      11.47
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .4854018   .1036288     4.68   0.000     .2820463    .6887573
              sdem |   1.306601   .6503788     2.01   0.045     .0303324    2.582869
              wdem |   .3892749   .5949953     0.65   0.513    -.7783119    1.556862
              ldem |   .1620664   .7755194     0.21   0.835    -1.359771    1.683904
              lrep |  -3.431811   .8287322    -4.14   0.000     -5.05807   -1.805552
              wrep |  -.9469471   .7937287    -1.19   0.233    -2.504517    .6106234
              srep |  -1.137992   1.195059    -0.95   0.341    -3.483112    1.207128
             _cons |   1.825042   .5961676     3.06   0.002     .6551552     2.99493
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   9.014539   1.700575                      6.225451    13.05318
------------------------------------------------------------------------------------

. 
. estimates store lag3

. svy linearized, subpop(if tookpost==1)  : tobit bias_change sdem wdem ldem lrep wrep srep polint, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        983
Number of PSUs     =       983                  Population size   = 990.974549
                                                Subpop. no. obs   =        798
                                                Subpop. size      = 783.924478
                                                Design df         =        982

                                                Censoring of obs:
                                                   Uncensored     =        792
Limits: lower = -10                                Left-censored  =          2
        upper = 10                                 Right-censored =          4

                                                F(   7,    976)   =       2.19
                                                Prob > F          =     0.0326

------------------------------------------------------------------------------------
                   |             Linearized
       bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   1.014023   .3450013     2.94   0.003     .3369979    1.691047
              wdem |    .514661   .5210474     0.99   0.324    -.5078335    1.537155
              ldem |   .0517412   .4246566     0.12   0.903    -.7815975    .8850798
              lrep |  -.3913279   .4520914    -0.87   0.387    -1.278504    .4958485
              wrep |    .226691    .382774     0.59   0.554    -.5244581      .97784
              srep |   .0357027   .4471213     0.08   0.936    -.8417204    .9131258
            polint |   .0283958     .18771     0.15   0.880     -.339963    .3967547
             _cons |  -.2170018   .4757223    -0.46   0.648    -1.150551    .7165474
-------------------+----------------------------------------------------------------
 var(e.bias_change)|   6.481645   .6989561                      5.245436    8.009196
------------------------------------------------------------------------------------

. 
. estimates store Change1

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit bias_change sdem wdem ldem lrep wrep srep, ul ll 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        997
Number of PSUs     =       997                  Population size   = 996.975698
                                                Subpop. no. obs   =        429
                                                Subpop. size      = 441.168971
                                                Design df         =        996

                                                Censoring of obs:
                                                   Uncensored     =        426
Limits: lower = -10                                Left-censored  =          1
        upper = 10                                 Right-censored =          2

                                                F(   6,    991)   =       2.48
                                                Prob > F          =     0.0218

------------------------------------------------------------------------------------
                   |             Linearized
       bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |    .943843   .3934123     2.40   0.017     .1718309    1.715855
              wdem |   .1474827   .7122577     0.21   0.836    -1.250215    1.545181
              ldem |  -.1763585   .4864472    -0.36   0.717    -1.130937    .7782204
              lrep |  -.3759661   .6102639    -0.62   0.538    -1.573517    .8215843
              wrep |  -.4289422   .4437354    -0.97   0.334    -1.299706    .4418213
              srep |  -.1860858    .331527    -0.56   0.575    -.8366573    .4644856
             _cons |   .1116413   .2794042     0.40   0.690    -.4366473    .6599298
-------------------+----------------------------------------------------------------
 var(e.bias_change)|   5.281079   .8077898                      3.911697    7.129847
------------------------------------------------------------------------------------

. 
. estimates store Change2

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit bias_change sdem wdem ldem lrep wrep srep, ul ll  
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 998.858679
                                                Subpop. no. obs   =        369
                                                Subpop. size      = 342.755507
                                                Design df         =        997

                                                Censoring of obs:
                                                   Uncensored     =        366
Limits: lower = -10                                Left-censored  =          1
        upper = 10                                 Right-censored =          2

                                                F(   6,    992)   =       1.34
                                                Prob > F          =     0.2382

------------------------------------------------------------------------------------
                   |             Linearized
       bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   .7128654     .59807     1.19   0.234    -.4607551    1.886486
              wdem |   .7506624   .6980499     1.08   0.282    -.6191532    2.120478
              ldem |   .2191525   .6672798     0.33   0.743    -1.090281    1.528586
              lrep |  -.6720774   .5515473    -1.22   0.223    -1.754404    .4102494
              wrep |   .7743095   .6008708     1.29   0.198    -.4048071    1.953426
              srep |   .1475468   1.124272     0.13   0.896    -2.058664    2.353757
             _cons |  -.3511894   .3586183    -0.98   0.328    -1.054923    .3525438
-------------------+----------------------------------------------------------------
 var(e.bias_change)|   7.893498   1.167536                      5.904924    10.55175
------------------------------------------------------------------------------------

. 
. estimates store Change3

. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias1 sdem wdem ldem lrep wrep srep polint age educ gender
> 2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        986
Number of PSUs     =       986                  Population size   = 992.513382
                                                Subpop. no. obs   =        801
                                                Subpop. size      = 785.463311
                                                Design df         =        985

                                                Censoring of obs:
                                                   Uncensored     =        572
Limits: lower = 0                                  Left-censored  =        191
        upper = 10                                 Right-censored =         38

                                                F(  12,    974)   =      17.99
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   2.867901   .5592351     5.13   0.000     1.770472     3.96533
              wdem |   .5772314   .6994236     0.83   0.409    -.7953002    1.949763
              ldem |   1.793637   .5481191     3.27   0.001     .7180218    2.869253
              lrep |  -3.462819   .8214489    -4.22   0.000     -5.07481   -1.850828
              wrep |  -2.804777   .6847663    -4.10   0.000    -4.148545   -1.461009
              srep |  -2.518735   .6883453    -3.66   0.000    -3.869527   -1.167943
            polint |  -.6869891   .2444944    -2.81   0.005    -1.166779   -.2071994
               age |  -.0073767   .0121163    -0.61   0.543    -.0311534    .0163999
              educ |   .1307526   .1365086     0.96   0.338    -.1371285    .3986338
           gender2 |   .4818636   .4105387     1.17   0.241    -.3237674    1.287495
        race_black |   .0858798   .5495294     0.16   0.876    -.9925031    1.164263
         hispanic2 |  -1.268124   .8142671    -1.56   0.120    -2.866021     .329774
             _cons |   4.461984   .8952057     4.98   0.000     2.705254    6.218713
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|    11.8287   1.302662                      9.529745    14.68226
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 sdem wdem ldem lrep wrep srep polint age educ gender
> 2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        985
Number of PSUs     =       985                  Population size   =  993.60134
                                                Subpop. no. obs   =        800
                                                Subpop. size      = 786.551269
                                                Design df         =        984

                                                Censoring of obs:
                                                   Uncensored     =        510
Limits: lower = 0                                  Left-censored  =        214
        upper = 10                                 Right-censored =         76

                                                F(  12,    973)   =      20.35
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   4.328944   .7267262     5.96   0.000     2.902832    5.755055
              wdem |   1.556704   .6104362     2.55   0.011     .3587981    2.754611
              ldem |   2.168259   .7128032     3.04   0.002     .7694703    3.567049
              lrep |  -4.544032    .819985    -5.54   0.000    -6.153153   -2.934912
              wrep |  -2.479338   .7322935    -3.39   0.001    -3.916374   -1.042301
              srep |  -2.932029   .8182497    -3.58   0.000    -4.537744   -1.326314
            polint |  -.7619727   .3293434    -2.31   0.021    -1.408269   -.1156765
               age |   .0117154   .0144102     0.81   0.416    -.0165629    .0399938
              educ |   .1101369   .1685372     0.65   0.514    -.2205966    .4408705
           gender2 |   .1357115   .4513076     0.30   0.764    -.7499245    1.021348
        race_black |  -.0517112   .7175664    -0.07   0.943    -1.459847    1.356425
         hispanic2 |  -.2131916   .9921535    -0.21   0.830    -2.160172    1.733788
             _cons |   3.479362   .9907454     3.51   0.000     1.535145    5.423578
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   15.12162   1.896776                      11.82215    19.34194
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias1 sdem wdem ldem lrep wrep srep age educ g
> ender2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        999
Number of PSUs     =       999                  Population size   = 998.055327
                                                Subpop. no. obs   =        431
                                                Subpop. size      = 442.248601
                                                Design df         =        998

                                                Censoring of obs:
                                                   Uncensored     =        267
Limits: lower = 0                                  Left-censored  =        138
        upper = 10                                 Right-censored =         26

                                                F(  11,    988)   =      17.50
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   4.965305   .8900633     5.58   0.000     3.218694    6.711915
              wdem |   3.977915   1.130036     3.52   0.000     1.760396    6.195433
              ldem |   4.210747   .9021471     4.67   0.000     2.440424    5.981069
              lrep |  -3.443013   1.390022    -2.48   0.013    -6.170714   -.7153117
              wrep |  -2.238681   1.177527    -1.90   0.058    -4.549393    .0720316
              srep |  -1.633349   1.019736    -1.60   0.110    -3.634422    .3677228
               age |  -.0160372   .0185264    -0.87   0.387    -.0523923     .020318
              educ |   .0164351   .1749444     0.09   0.925     -.326866    .3597362
           gender2 |   .1736541   .5327249     0.33   0.745    -.8717354    1.219044
        race_black |  -.5294097   1.030604    -0.51   0.608    -2.551809    1.492989
         hispanic2 |  -3.417267   1.932851    -1.77   0.077    -7.210184    .3756506
             _cons |    2.08154   1.639893     1.27   0.205    -1.136493    5.299573
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   14.70713   2.222831                      10.93255    19.78493
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias2 sdem wdem ldem lrep wrep srep age educ g
> ender2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 998.920371
                                                Subpop. no. obs   =        430
                                                Subpop. size      = 443.113644
                                                Design df         =        997

                                                Censoring of obs:
                                                   Uncensored     =        227
Limits: lower = 0                                  Left-censored  =        149
        upper = 10                                 Right-censored =         54

                                                F(  11,    987)   =      16.77
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   6.604121   1.039118     6.36   0.000     4.565011    8.643231
              wdem |   4.623213   1.194412     3.87   0.000     2.279364    6.967062
              ldem |   4.468169   1.009782     4.42   0.000     2.486627     6.44971
              lrep |  -4.208556   1.364299    -3.08   0.002    -6.885782    -1.53133
              wrep |  -2.872079   1.249879    -2.30   0.022    -5.324774   -.4193843
              srep |  -2.765858   1.229986    -2.25   0.025    -5.179516   -.3521995
               age |  -.0031604   .0194089    -0.16   0.871    -.0412474    .0349265
              educ |   -.144875   .2300225    -0.63   0.529    -.5962588    .3065089
           gender2 |  -.8022665   .6057402    -1.32   0.186    -1.990938    .3864054
        race_black |  -.6168798   1.256134    -0.49   0.623     -3.08185    1.848091
         hispanic2 |   -3.16164   2.641502    -1.20   0.232    -8.345182    2.021903
             _cons |   2.324514    1.66167     1.40   0.162    -.9362579    5.585285
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   18.96931   3.043645                      13.84553    25.98925
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias1 sdem wdem ldem lrep wrep srep age educ ge
> nder2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        999
Number of PSUs     =       999                  Population size   = 999.317882
                                                Subpop. no. obs   =        370
                                                Subpop. size      =  343.21471
                                                Design df         =        998

                                                Censoring of obs:
                                                   Uncensored     =        305
Limits: lower = 0                                  Left-censored  =         53
        upper = 10                                 Right-censored =         12

                                                F(  11,    988)   =       5.06
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   .5574277   .5597061     1.00   0.320    -.5409082    1.655764
              wdem |  -1.191412   .6925272    -1.72   0.086    -2.550388    .1675647
              ldem |  -.1977019    .533394    -0.37   0.711    -1.244404    .8490005
              lrep |  -2.776279   .8651005    -3.21   0.001    -4.473903   -1.078654
              wrep |  -2.966393   .7873024    -3.77   0.000    -4.511351   -1.421435
              srep |  -2.317802   1.122501    -2.06   0.039    -4.520536   -.1150689
               age |  -.0090807   .0141244    -0.64   0.520    -.0367975    .0186362
              educ |   .1804703   .1416591     1.27   0.203    -.0975136    .4584542
           gender2 |   .9546726   .4876781     1.96   0.051    -.0023195    1.911665
        race_black |   .8258953   .4320953     1.91   0.056    -.0220244    1.673815
         hispanic2 |  -.1272297   .5525107    -0.23   0.818    -1.211446    .9569863
             _cons |    3.76938   .9839872     3.83   0.000     1.838459    5.700301
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   7.771962   1.151571                      5.811056    10.39456
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias2 sdem wdem ldem lrep wrep srep age educ ge
> nder2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        999
Number of PSUs     =       999                  Population size   = 999.540797
                                                Subpop. no. obs   =        370
                                                Subpop. size      = 343.437625
                                                Design df         =        998

                                                Censoring of obs:
                                                   Uncensored     =        283
Limits: lower = 0                                  Left-censored  =         65
        upper = 10                                 Right-censored =         22

                                                F(  11,    988)   =       7.18
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   1.341125   .7445104     1.80   0.072    -.1198598    2.802111
              wdem |   .0568138   .6173852     0.09   0.927    -1.154708    1.268336
              ldem |   .3537271   .7466526     0.47   0.636    -1.111462    1.818916
              lrep |  -3.884747   .8792422    -4.42   0.000    -5.610123   -2.159372
              wrep |  -1.838894   .8175967    -2.25   0.025      -3.4433   -.2344881
              srep |   -2.04361   1.174543    -1.74   0.082    -4.348468    .2612479
               age |   .0125343   .0159352     0.79   0.432    -.0187361    .0438047
              educ |   .1679178   .1729608     0.97   0.332    -.1714908    .5073264
           gender2 |   1.355159   .5430524     2.50   0.013     .2895035    2.420815
        race_black |   .8663189   .7528346     1.15   0.250    -.6110014    2.343639
         hispanic2 |   1.687717   .5515463     3.06   0.002     .6053934     2.77004
             _cons |   1.706156   1.115866     1.53   0.127    -.4835561    3.895868
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   9.536153   1.575165                      6.896084    13.18694
------------------------------------------------------------------------------------

. 
. 
. 
. 
. 
. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep srep polint age
>  educ gender2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        983
Number of PSUs     =       983                  Population size   = 990.974549
                                                Subpop. no. obs   =        798
                                                Subpop. size      = 783.924478
                                                Design df         =        982

                                                Censoring of obs:
                                                   Uncensored     =        510
Limits: lower = 0                                  Left-censored  =        212
        upper = 10                                 Right-censored =         76

                                                F(  13,    970)   =      35.34
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .8049291   .0808313     9.96   0.000     .6463071     .963551
              sdem |   2.569564   .6295794     4.08   0.000     1.334088    3.805039
              wdem |   1.228883   .5716389     2.15   0.032     .1071091    2.350658
              ldem |   1.052701     .59337     1.77   0.076    -.1117176     2.21712
              lrep |  -2.654837    .700961    -3.79   0.000    -4.030391   -1.279284
              wrep |  -.8129805   .5734971    -1.42   0.157    -1.938401    .3124403
              srep |   -1.45049   .6589391    -2.20   0.028    -2.743581   -.1573998
            polint |  -.4296946   .2858261    -1.50   0.133    -.9905948    .1312055
               age |   .0142866   .0122226     1.17   0.243    -.0096989    .0382721
              educ |   .0445711    .120984     0.37   0.713    -.1928458     .281988
           gender2 |  -.1373664   .3635392    -0.38   0.706    -.8507695    .5760367
        race_black |  -.0243158   .5456985    -0.04   0.964    -1.095185    1.046554
         hispanic2 |    .474817   .6346908     0.75   0.455    -.7706892    1.720323
             _cons |    .004616    .909238     0.01   0.996    -1.779657    1.788889
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.35424   1.370298                      7.986004    13.42476
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1)  : regress bias_change sdem wdem ldem lrep wrep srep polint age educ gend
> er2 race_black hispanic2
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        983
Number of PSUs     =       983                  Population size   = 990.974549
                                                Subpop. no. obs   =        798
                                                Subpop. size      = 783.924478
                                                Design df         =        982
                                                F(  12,    971)   =       2.36
                                                Prob > F          =     0.0053
                                                R-squared         =     0.0461

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sdem |   1.033087   .3868651     2.67   0.008     .2739097    1.792265
        wdem |   .6750298   .5190136     1.30   0.194    -.3434734    1.693533
        ldem |   .1855312   .4300473     0.43   0.666    -.6583862    1.029449
        lrep |  -.3852493   .4333358    -0.89   0.374     -1.23562    .4651214
        wrep |   .3464828   .3677839     0.94   0.346    -.3752499    1.068216
        srep |   .0929729   .4255548     0.22   0.827    -.7421285    .9280742
      polint |  -.0062423   .2101187    -0.03   0.976    -.4185755     .406091
         age |   .0101731   .0088931     1.14   0.253    -.0072785    .0276247
        educ |   .0125628   .0746116     0.17   0.866    -.1338538    .1589794
     gender2 |  -.2415476   .2565841    -0.94   0.347    -.7450639    .2619686
  race_black |  -.0227641   .3955825    -0.06   0.954    -.7990484    .7535201
   hispanic2 |   .8946424   .3806446     2.35   0.019      .147672    1.641613
       _cons |   -.714116   .5836247    -1.22   0.221    -1.859411    .4311791
------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1  & polint==3)  : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep sr
> ep polint age educ gender2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        997
Number of PSUs     =       997                  Population size   = 996.975698
                                                Subpop. no. obs   =        429
                                                Subpop. size      = 441.168971
                                                Design df         =        996

                                                Censoring of obs:
                                                   Uncensored     =        227
Limits: lower = 0                                  Left-censored  =        148
        upper = 10                                 Right-censored =         54

                                                F(  12,    985)   =      28.01
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .9518956   .1123022     8.48   0.000     .7315195    1.172272
              sdem |   3.032067   .8754819     3.46   0.001     1.314066    4.750068
              wdem |   1.839152    1.00241     1.83   0.067    -.1279253    3.806229
              ldem |   1.326998   .8208778     1.62   0.106    -.2838505    2.937846
              lrep |  -2.484617   1.137349    -2.18   0.029    -4.716492   -.2527419
              wrep |  -1.458477   .9410057    -1.55   0.121    -3.305058    .3881044
              srep |  -1.611008   .7459251    -2.16   0.031    -3.074773    -.147243
            polint |          0  (omitted)
               age |   .0002341   .0141941     0.02   0.987    -.0276196    .0280878
              educ |  -.1093474   .1604065    -0.68   0.496    -.4241208    .2054261
           gender2 |  -.8058489   .4609451    -1.75   0.081    -1.710384     .098686
        race_black |  -.1596266   .7176168    -0.22   0.824    -1.567841    1.248588
         hispanic2 |  -1.016455   1.376077    -0.74   0.460    -3.716798    1.683888
             _cons |  -.1992765   1.188726    -0.17   0.867    -2.531972    2.133419
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|    10.7404   1.700166                      7.872532      14.653
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1  & polint==3)  : regress bias_change sdem wdem ldem lrep wrep srep polint 
> age educ gender2 race_black hispanic2
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        997
Number of PSUs     =       997                  Population size   = 996.975698
                                                Subpop. no. obs   =        429
                                                Subpop. size      = 441.168971
                                                Design df         =        996
                                                F(  11,    986)   =       2.10
                                                Prob > F          =     0.0181
                                                R-squared         =     0.0670

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sdem |   1.028782   .4473356     2.30   0.022     .1509534     1.90661
        wdem |   .2550585   .7269906     0.35   0.726     -1.17155    1.681667
        ldem |  -.0988972   .5070008    -0.20   0.845    -1.093809    .8960151
        lrep |  -.4099252   .5825484    -0.70   0.482    -1.553088    .7332379
        wrep |  -.3043424   .4664435    -0.65   0.514    -1.219667    .6109823
        srep |  -.1308993   .3419037    -0.38   0.702    -.8018336    .5400351
      polint |          0  (omitted)
         age |    .001052    .009483     0.11   0.912    -.0175569    .0196609
        educ |  -.0234695   .0849121    -0.28   0.782    -.1900966    .1431577
     gender2 |  -.5358865   .2875859    -1.86   0.063     -1.10023    .0284573
  race_black |   .0920338   .4586762     0.20   0.841    -.8080487    .9921164
   hispanic2 |   .3156302   .4557165     0.69   0.489    -.5786445    1.209905
       _cons |    .300647   .6651096     0.45   0.651     -1.00453    1.605824
------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep srep
>  age educ gender2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 998.858679
                                                Subpop. no. obs   =        369
                                                Subpop. size      = 342.755507
                                                Design df         =        997

                                                Censoring of obs:
                                                   Uncensored     =        283
Limits: lower = 0                                  Left-censored  =         64
        upper = 10                                 Right-censored =         22

                                                F(  12,    986)   =       9.34
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .4591699   .0962143     4.77   0.000     .2703642    .6479757
              sdem |   1.051311   .6930245     1.52   0.130    -.3086425    2.411265
              wdem |   .4718585   .6280967     0.75   0.453    -.7606847    1.704402
              ldem |    .442166   .7008884     0.63   0.528    -.9332197    1.817552
              lrep |  -2.821044   .7997055    -3.53   0.000    -4.390343   -1.251745
              wrep |  -.7722456    .719983    -1.07   0.284    -2.185101    .6406103
              srep |  -1.160847   1.127321    -1.03   0.303    -3.373041    1.051348
               age |   .0168844   .0154171     1.10   0.274    -.0133693     .047138
              educ |   .1006283   .1631551     0.62   0.538    -.2195386    .4207951
           gender2 |   1.016977   .5191334     1.96   0.050    -.0017425    2.035696
        race_black |   .6125269    .759761     0.81   0.420    -.8783873    2.103441
         hispanic2 |   1.763192   .5262864     3.35   0.001     .7304362    2.795949
             _cons |  -.1704858   1.107744    -0.15   0.878    -2.344262    2.003291
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   8.417633    1.56199                      5.848543    12.11525
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : regress bias_change sdem wdem ldem lrep wrep srep age educ 
> gender2 race_black hispanic2
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 998.858679
                                                Subpop. no. obs   =        369
                                                Subpop. size      = 342.755507
                                                Design df         =        997
                                                F(  11,    987)   =       2.24
                                                Prob > F          =     0.0110
                                                R-squared         =     0.0644

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sdem |   .7044334   .6023331     1.17   0.242    -.4775527     1.88642
        wdem |   1.041159   .6833046     1.52   0.128    -.2997214    2.382039
        ldem |   .5938783   .6200549     0.96   0.338     -.622884    1.810641
        lrep |  -.3109334   .5503324    -0.56   0.572    -1.390876    .7690092
        wrep |    1.06649   .5477117     1.95   0.052      -.00831     2.14129
        srep |   .3258485   1.048656     0.31   0.756    -1.731978    2.383675
         age |   .0174053   .0141488     1.23   0.219    -.0103596    .0451701
        educ |  -.0262168   .1461208    -0.18   0.858    -.3129563    .2605227
     gender2 |    .313029   .4402878     0.71   0.477    -.5509681    1.177026
  race_black |  -.0084936   .6970382    -0.01   0.990    -1.376324    1.359337
   hispanic2 |   1.590748   .5301432     3.00   0.003     .5504234    2.631072
       _cons |  -1.660427   .7676598    -2.16   0.031    -3.166841   -.1540123
------------------------------------------------------------------------------

. svy linearized, subpop(if tookpost==1) : tobit Media_Bias1 PID polint pidXpolint  age educ gender2 race_black hi
> spanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        967
Number of PSUs     =       967                  Population size   = 962.270096
                                                Subpop. no. obs   =        782
                                                Subpop. size      = 755.220025
                                                Design df         =        966

                                                Censoring of obs:
                                                   Uncensored     =        556
Limits: lower = 0                                  Left-censored  =        190
        upper = 10                                 Right-censored =         36

                                                F(   8,    959)   =      21.61
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
               PID |  -.1352757   .2382979    -0.57   0.570    -.6029169    .3323655
            polint |   .8110537   .4493151     1.81   0.071    -.0706924      1.6928
        pidXpolint |  -.3390073   .0933107    -3.63   0.000    -.5221224   -.1558922
               age |   -.012192   .0129583    -0.94   0.347    -.0376217    .0132377
              educ |   .1779868   .1471718     1.21   0.227    -.1108266    .4668001
           gender2 |   .5688108   .3927185     1.45   0.148     -.201869    1.339491
        race_black |   .3143741   .6209504     0.51   0.613    -.9041931    1.532941
         hispanic2 |  -1.168476   .9111684    -1.28   0.200    -2.956573    .6196217
             _cons |   4.216094   1.185924     3.56   0.000     1.888811    6.543378
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   12.58654   1.404611                      10.11105     15.6681
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1) : tobit Media_Bias2 PID polint pidXpolint  age educ gender2 race_black hi
> spanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        966
Number of PSUs     =       966                  Population size   = 963.358055
                                                Subpop. no. obs   =        781
                                                Subpop. size      = 756.307984
                                                Design df         =        965

                                                Censoring of obs:
                                                   Uncensored     =        492
Limits: lower = 0                                  Left-censored  =        213
        upper = 10                                 Right-censored =         76

                                                F(   8,    958)   =      23.43
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
               PID |     .33732   .3278276     1.03   0.304    -.3060172    .9806572
            polint |   1.964925   .5845911     3.36   0.001     .8177085    3.112141
        pidXpolint |  -.6593448   .1362839    -4.84   0.000    -.9267917   -.3918979
               age |   .0072985   .0150096     0.49   0.627    -.0221567    .0367538
              educ |   .1683814   .1852627     0.91   0.364    -.1951829    .5319457
           gender2 |   .3647328   .4524882     0.81   0.420    -.5232416    1.252707
        race_black |   .2822514   .7962936     0.35   0.723    -1.280415    1.844918
         hispanic2 |  -.1328568   1.186009    -0.11   0.911    -2.460311    2.194597
             _cons |   1.597899   1.578763     1.01   0.312    -1.500305    4.696103
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   16.35157   2.020158                      12.83115    20.83787
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1) : tobit Media_Bias2 Media_Bias1 PID polint pidXpolint  age educ gender2 r
> ace_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        964
Number of PSUs     =       964                  Population size   = 960.731264
                                                Subpop. no. obs   =        779
                                                Subpop. size      = 753.681193
                                                Design df         =        963

                                                Censoring of obs:
                                                   Uncensored     =        492
Limits: lower = 0                                  Left-censored  =        211
        upper = 10                                 Right-censored =         76

                                                F(   9,    955)   =      47.34
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .8325909   .0869155     9.58   0.000     .6620253    1.003156
               PID |   .4687219   .3381187     1.39   0.166    -.1948126    1.132256
            polint |   1.451267   .5055705     2.87   0.004     .4591199    2.443414
        pidXpolint |  -.4708779   .1371969    -3.43   0.001    -.7401173   -.2016384
               age |   .0129232   .0122202     1.06   0.291    -.0110582    .0369045
              educ |   .0768563   .1309079     0.59   0.557    -.1800414     .333754
           gender2 |   .0479799   .3702983     0.13   0.897    -.6787047    .7746645
        race_black |   .1608671   .5405608     0.30   0.766    -.8999459     1.22168
         hispanic2 |   .4719942   .7472311     0.63   0.528    -.9943947    1.938383
             _cons |  -2.057497    1.57879    -1.30   0.193    -5.155762    1.040768
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.85544   1.321338                      8.548851    13.78438
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1) : regress bias_change PID polint pidXpolint  age educ gender2 race_black 
> hispanic2
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        964
Number of PSUs     =       964                  Population size   = 960.731264
                                                Subpop. no. obs   =        779
                                                Subpop. size      = 753.681193
                                                Design df         =        963
                                                F(   8,    956)   =       3.37
                                                Prob > F          =     0.0008
                                                R-squared         =     0.0440

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
         PID |   .2993806   .2944275     1.02   0.309    -.2784129    .8771741
      polint |    .747639   .3803703     1.97   0.050     .0011886    1.494089
  pidXpolint |  -.1781932   .1063282    -1.68   0.094    -.3868549    .0304685
         age |   .0110064   .0088649     1.24   0.215    -.0063904    .0284031
        educ |    .019835   .0785174     0.25   0.801    -.1342499    .1739198
     gender2 |  -.1200381   .2496288    -0.48   0.631    -.6099172    .3698411
  race_black |   .1014126    .381459     0.27   0.790    -.6471741    .8499994
   hispanic2 |   .8830494   .4076641     2.17   0.031      .083037    1.683062
       _cons |  -1.811362   1.235987    -1.47   0.143      -4.2369    .6141773
------------------------------------------------------------------------------

. 
. 
. 
. svy linearized, subpop(if tookpost==1) : tobit Media_Bias1 sdem wdem ldem lrep wrep srep polint intXsdem intXwde
> m intXldem intXlrep intXwrep intXsrep, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        986
Number of PSUs     =       986                  Population size   = 992.513382
                                                Subpop. no. obs   =        801
                                                Subpop. size      = 785.463311
                                                Design df         =        985

                                                Censoring of obs:
                                                   Uncensored     =        572
Limits: lower = 0                                  Left-censored  =        191
        upper = 10                                 Right-censored =         38

                                                F(  13,    973)   =      15.79
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |  -.6111784    1.08116    -0.57   0.572    -2.732819    1.510463
              wdem |  -1.630411   1.311387    -1.24   0.214    -4.203845    .9430231
              ldem |  -2.312637   1.253808    -1.84   0.065     -4.77308    .1478058
              lrep |  -1.520548   1.901838    -0.80   0.424    -5.252668    2.211571
              wrep |  -1.586279   1.390241    -1.14   0.254    -4.314454    1.141896
              srep |   -1.71358   1.923117    -0.89   0.373    -5.487457    2.060297
            polint |  -1.086234   .4004003    -2.71   0.007    -1.871969   -.3004982
          intXsdem |   1.496456   .5222036     2.87   0.004     .4716968    2.521216
          intXwdem |   1.261251   .6025946     2.09   0.037     .0787345    2.443768
          intXldem |   1.954184   .5692285     3.43   0.001     .8371437    3.071224
          intXlrep |  -.7125029   .8721405    -0.82   0.414     -2.42397    .9989641
          intXwrep |  -.3682363   .6369053    -0.58   0.563    -1.618084    .8816109
          intXsrep |  -.1197721   .7433286    -0.16   0.872    -1.578462    1.338918
             _cons |   5.242186   .8209793     6.39   0.000     3.631116    6.853255
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   11.62494   1.397821                      9.181497    14.71865
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1) : tobit Media_Bias2 sdem wdem ldem lrep wrep srep polint intXsdem intXwde
> m intXldem intXlrep intXwrep intXsrep, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        985
Number of PSUs     =       985                  Population size   =  993.60134
                                                Subpop. no. obs   =        800
                                                Subpop. size      = 786.551269
                                                Design df         =        984

                                                Censoring of obs:
                                                   Uncensored     =        510
Limits: lower = 0                                  Left-censored  =        214
        upper = 10                                 Right-censored =         76

                                                F(  13,    972)   =      19.41
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |  -.2332883   1.121374    -0.21   0.835    -2.433848    1.967272
              wdem |  -1.815934   1.312032    -1.38   0.167    -4.390637    .7587684
              ldem |  -3.226812    1.91147    -1.69   0.092    -6.977838    .5242142
              lrep |  -4.161189   1.559162    -2.67   0.008    -7.220854   -1.101524
              wrep |   .3731481   1.152004     0.32   0.746    -1.887519    2.633815
              srep |   2.045568   2.420461     0.85   0.398    -2.704291    6.795427
            polint |  -.9658297   .3039504    -3.18   0.002    -1.562295   -.3693643
          intXsdem |   1.833612   .5410057     3.39   0.001     .7719542    2.895269
          intXwdem |   1.683202   .6266411     2.69   0.007     .4534955    2.912909
          intXldem |   2.378168   .7620486     3.12   0.002     .8827408    3.873595
          intXlrep |  -.0291072   .7342947    -0.04   0.968    -1.470071    1.411856
          intXwrep |  -1.216847   .5425654    -2.24   0.025    -2.281566    -.152129
          intXsrep |  -1.785422   .9675157    -1.85   0.065    -3.684053    .1132093
             _cons |   4.769966   .4587229    10.40   0.000     3.869779    5.670154
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   13.99183   1.803925                      10.86417    18.01991
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1) : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep srep polint intX
> sdem intXwdem intXldem intXlrep intXwrep intXsrep, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        983
Number of PSUs     =       983                  Population size   = 990.974549
                                                Subpop. no. obs   =        798
                                                Subpop. size      = 783.924478
                                                Design df         =        982

                                                Censoring of obs:
                                                   Uncensored     =        510
Limits: lower = 0                                  Left-censored  =        212
        upper = 10                                 Right-censored =         76

                                                F(  14,    969)   =      32.00
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .7497868   .0869513     8.62   0.000      .579155    .9204186
              sdem |  -.2241145   1.101691    -0.20   0.839    -2.386054    1.937824
              wdem |  -.9117989   1.403778    -0.65   0.516    -3.666548     1.84295
              ldem |  -1.591166   1.825758    -0.87   0.384    -5.174001    1.991669
              lrep |  -2.685702   1.419131    -1.89   0.059     -5.47058    .0991754
              wrep |   1.316787   1.062096     1.24   0.215     -.767451    3.401025
              srep |    2.98729   2.785472     1.07   0.284    -2.478872    8.453453
            polint |  -.4203247   .2934971    -1.43   0.152    -.9962784     .155629
          intXsdem |   1.114732   .4863994     2.29   0.022     .1602301    2.069234
          intXwdem |   1.002079   .6126112     1.64   0.102    -.2000988    2.204256
          intXldem |    1.13591   .7137153     1.59   0.112    -.2646723    2.536493
          intXlrep |   .0220128   .6818091     0.03   0.974    -1.315958    1.359983
          intXwrep |  -1.042452    .473927    -2.20   0.028    -1.972478   -.1124258
          intXsrep |  -1.741622   1.048047    -1.66   0.097    -3.798291    .3150468
             _cons |    1.02767    .756444     1.36   0.175    -.4567625    2.512103
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   9.840976   1.188752                      7.764069    12.47346
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1) : regress bias_change sdem wdem ldem lrep wrep srep polint intXsdem intXw
> dem intXldem intXlrep intXwrep intXsrep
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        983
Number of PSUs     =       983                  Population size   = 990.974549
                                                Subpop. no. obs   =        798
                                                Subpop. size      = 783.924478
                                                Design df         =        982
                                                F(  13,    970)   =       2.07
                                                Prob > F          =     0.0135
                                                R-squared         =     0.0482

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sdem |   .2480047     1.0435     0.24   0.812    -1.799741    2.295751
        wdem |  -.1080449   1.355321    -0.08   0.936    -2.767704    2.551614
        ldem |  -.2927233   1.519583    -0.19   0.847    -3.274727     2.68928
        lrep |   -1.60207   1.189907    -1.35   0.178    -3.937122    .7329821
        wrep |   1.330747   .9565502     1.39   0.164    -.5463706    3.207864
        srep |    2.31022   2.668047     0.87   0.387    -2.925508    7.545949
      polint |   .0764237   .2736309     0.28   0.780    -.4605448    .6133922
    intXsdem |   .2750435   .4005834     0.69   0.492    -.5110545    1.061141
    intXwdem |   .2877252   .5592732     0.51   0.607    -.8097828    1.385233
    intXldem |    .137949   .5835263     0.24   0.813    -1.007153    1.283051
    intXlrep |   .4742654   .5041519     0.94   0.347    -.5150735    1.463604
    intXwrep |  -.5082955    .378556    -1.34   0.180    -1.251167    .2345763
    intXsrep |  -.8746163   .9432785    -0.93   0.354     -2.72569    .9764571
       _cons |  -.3057583   .6783795    -0.45   0.652    -1.636998    1.025482
------------------------------------------------------------------------------

. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias1 HillaryVote polint age educ gender2 race_black hispa
> nic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        881
Number of PSUs     =       881                  Population size   = 835.893327
                                                Subpop. no. obs   =        696
                                                Subpop. size      = 628.843256
                                                Design df         =        880

                                                Censoring of obs:
                                                   Uncensored     =        488
Limits: lower = 0                                  Left-censored  =        173
        upper = 10                                 Right-censored =         35

                                                F(   7,    874)   =      42.00
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       HillaryVote |   5.580265   .3588584    15.55   0.000     4.875947    6.284583
            polint |  -.8221394   .2753281    -2.99   0.003    -1.362516   -.2817629
               age |  -.0021735   .0123525    -0.18   0.860    -.0264173    .0220703
              educ |   .0269221   .1419009     0.19   0.850    -.2515816    .3054258
           gender2 |   .2712995   .3772034     0.72   0.472    -.4690239    1.011623
        race_black |  -.8376881   .5015793    -1.67   0.095    -1.822119    .1467432
         hispanic2 |  -1.740093   .9740762    -1.79   0.074    -3.651877    .1716904
             _cons |    2.37838   1.041085     2.28   0.023       .33508    4.421679
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   11.27663   1.288921                      9.010581    14.11256
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 HillaryVote polint age educ gender2 race_black hispa
> nic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        880
Number of PSUs     =       880                  Population size   = 836.981286
                                                Subpop. no. obs   =        695
                                                Subpop. size      = 629.931214
                                                Design df         =        879

                                                Censoring of obs:
                                                   Uncensored     =        429
Limits: lower = 0                                  Left-censored  =        195
        upper = 10                                 Right-censored =         71

                                                F(   7,    873)   =      42.21
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       HillaryVote |   7.224166   .5116072    14.12   0.000     6.220051     8.22828
            polint |  -.6135989   .3229982    -1.90   0.058    -1.247537    .0203388
               age |   .0095683   .0137369     0.70   0.486    -.0173927    .0365293
              educ |   -.062256   .1881479    -0.33   0.741    -.4315276    .3070156
           gender2 |   .0600814   .4679142     0.13   0.898    -.8582781    .9784409
        race_black |  -.6132322   .5526646    -1.11   0.267    -1.697929    .4714641
         hispanic2 |  -1.154476   1.301852    -0.89   0.375    -3.709577    1.400625
             _cons |   .7817874   1.225562     0.64   0.524    -1.623582    3.187157
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   15.07951    1.93379                      11.72409    19.39525
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias1 HillaryVote age educ gender2 race_black 
> hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        982
Number of PSUs     =       982                  Population size   =  979.50537
                                                Subpop. no. obs   =        414
                                                Subpop. size      = 423.698644
                                                Design df         =        981

                                                Censoring of obs:
                                                   Uncensored     =        254
Limits: lower = 0                                  Left-censored  =        134
        upper = 10                                 Right-censored =         26

                                                F(   6,    976)   =      40.88
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       HillaryVote |   7.034965   .4732022    14.87   0.000      6.10636    7.963571
               age |  -.0135276   .0166088    -0.81   0.416    -.0461205    .0190653
              educ |  -.1369583   .1678407    -0.82   0.415    -.4663263    .1924098
           gender2 |   .2313025    .481811     0.48   0.631    -.7141963    1.176801
        race_black |  -1.156886   .7887647    -1.47   0.143    -2.704746    .3909741
         hispanic2 |  -3.903748     1.9336    -2.02   0.044    -7.698216   -.1092795
             _cons |   .4972785   1.457527     0.34   0.733     -2.36295    3.357507
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   12.64177   1.976166                      9.302154    17.18037
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias2 HillaryVote age educ gender2 race_black 
> hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        981
Number of PSUs     =       981                  Population size   = 980.370414
                                                Subpop. no. obs   =        413
                                                Subpop. size      = 424.563688
                                                Design df         =        980

                                                Censoring of obs:
                                                   Uncensored     =        216
Limits: lower = 0                                  Left-censored  =        144
        upper = 10                                 Right-censored =         53

                                                F(   6,    975)   =      40.27
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       HillaryVote |   9.207249   .6527384    14.11   0.000     7.926324    10.48818
               age |   .0025293   .0161498     0.16   0.876    -.0291628    .0342214
              educ |  -.3171263   .2088783    -1.52   0.129    -.7270266    .0927739
           gender2 |  -.5770347   .5444936    -1.06   0.290    -1.645542    .4914728
        race_black |  -1.383573    .835249    -1.66   0.098    -3.022655    .2555096
         hispanic2 |  -3.685617   2.604749    -1.41   0.157    -8.797145    1.425911
             _cons |  -.2476792   1.329175    -0.19   0.852    -2.856036    2.360678
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   15.13831   2.356144                      11.15403    20.54581
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias1 HillaryVote age educ gender2 race_black h
> ispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        911
Number of PSUs     =       911                  Population size   = 861.247784
                                                Subpop. no. obs   =        282
                                                Subpop. size      = 205.144612
                                                Design df         =        910

                                                Censoring of obs:
                                                   Uncensored     =        234
Limits: lower = 0                                  Left-censored  =         39
        upper = 10                                 Right-censored =          9

                                                F(   6,    905)   =      10.04
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       HillaryVote |   2.853878   .4432581     6.44   0.000     1.983951    3.723805
               age |    .005552   .0163855     0.34   0.735    -.0266058    .0377099
              educ |   .1966319   .1772073     1.11   0.267    -.1511507    .5444144
           gender2 |   .7083343   .4985095     1.42   0.156    -.2700276    1.686696
        race_black |  -.0774434   .3937475    -0.20   0.844    -.8502022    .6953154
         hispanic2 |   .3244992   .6100083     0.53   0.595    -.8726874    1.521686
             _cons |   .8229708   1.557899     0.53   0.597    -2.234521    3.880463
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   7.573695   1.123419                      5.660822    10.13295
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias2 HillaryVote age educ gender2 race_black h
> ispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        911
Number of PSUs     =       911                  Population size   = 861.470699
                                                Subpop. no. obs   =        282
                                                Subpop. size      = 205.367527
                                                Design df         =        910

                                                Censoring of obs:
                                                   Uncensored     =        213
Limits: lower = 0                                  Left-censored  =         51
        upper = 10                                 Right-censored =         18

                                                F(   6,    905)   =      14.31
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       HillaryVote |   3.180276   .6545676     4.86   0.000     1.895638    4.464913
               age |   .0100367   .0170615     0.59   0.556    -.0234477    .0435211
              educ |   .2349937   .2026914     1.16   0.247    -.1628031    .6327906
           gender2 |   1.680238    .678538     2.48   0.013     .3485566    3.011919
        race_black |    1.06027   .5708432     1.86   0.064    -.0600522    2.180592
         hispanic2 |   1.535272   .7655826     2.01   0.045     .0327597    3.037785
             _cons |  -.9064315   1.591806    -0.57   0.569    -4.030469    2.217606
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.35535   1.789279                      7.377197    14.53577
------------------------------------------------------------------------------------

. 
. 
. 
. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 Media_Bias1 HillaryVote polint age educ gender2 race
> _black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        878
Number of PSUs     =       878                  Population size   = 834.354495
                                                Subpop. no. obs   =        693
                                                Subpop. size      = 627.304424
                                                Design df         =        877

                                                Censoring of obs:
                                                   Uncensored     =        429
Limits: lower = 0                                  Left-censored  =        193
        upper = 10                                 Right-censored =         71

                                                F(   8,    870)   =      60.28
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .8414751   .0929025     9.06   0.000      .659138    1.023812
       HillaryVote |   3.596285   .5771944     6.23   0.000     2.463442    4.729129
            polint |  -.1622077   .2208432    -0.73   0.463    -.5956506    .2712351
               age |   .0081406   .0112922     0.72   0.471    -.0140223    .0303034
              educ |  -.0425175   .1369239    -0.31   0.756    -.3112542    .2262193
           gender2 |   -.022312   .3822572    -0.06   0.953    -.7725577    .7279337
        race_black |   .0708384   .4392928     0.16   0.872    -.7913496    .9330263
         hispanic2 |  -.0364665   .7915494    -0.05   0.963    -1.590019    1.517086
             _cons |  -1.684522    1.02104    -1.65   0.099    -3.688489    .3194449
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.41904   1.416889                      7.978337    13.60638
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias2 Media_Bias1 HillaryVote age educ gender2
>  race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        980
Number of PSUs     =       980                  Population size   = 978.425741
                                                Subpop. no. obs   =        412
                                                Subpop. size      = 422.619014
                                                Design df         =        979

                                                Censoring of obs:
                                                   Uncensored     =        216
Limits: lower = 0                                  Left-censored  =        143
        upper = 10                                 Right-censored =         53

                                                F(   7,    973)   =      49.09
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .8255775   .1168372     7.07   0.000     .5962974    1.054858
       HillaryVote |   4.891987   .7838591     6.24   0.000      3.35375    6.430224
               age |   .0050918   .0142956     0.36   0.722    -.0229618    .0331455
              educ |  -.2058985   .1651181    -1.25   0.213    -.5299245    .1181276
           gender2 |  -.6183821   .4500031    -1.37   0.170    -1.501464    .2646996
        race_black |  -.4947964   .6156101    -0.80   0.422    -1.702864    .7132708
         hispanic2 |  -1.381297   1.489738    -0.93   0.354    -4.304744    1.542151
             _cons |  -1.621977   1.132108    -1.43   0.152    -3.843615    .5996619
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.35953   1.633366                      7.602684    14.11606
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias2 Media_Bias1 HillaryVote age educ gender2 
> race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        910
Number of PSUs     =       910                  Population size   = 860.788581
                                                Subpop. no. obs   =        281
                                                Subpop. size      = 204.685409
                                                Design df         =        909

                                                Censoring of obs:
                                                   Uncensored     =        213
Limits: lower = 0                                  Left-censored  =         50
        upper = 10                                 Right-censored =         18

                                                F(   7,    903)   =      18.39
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .6157132   .1214485     5.07   0.000     .3773612    .8540651
       HillaryVote |   1.678825   .6174266     2.72   0.007     .4670779    2.890573
               age |   .0087472   .0140575     0.62   0.534    -.0188417     .036336
              educ |   .1667474   .1688614     0.99   0.324    -.1646561    .4981508
           gender2 |   1.412344   .6044088     2.34   0.020     .2261453    2.598543
        race_black |   1.170968   .5298168     2.21   0.027     .1311614    2.210774
         hispanic2 |   1.433323   .6924616     2.07   0.039     .0743134    2.792332
             _cons |  -2.118629   1.281577    -1.65   0.099    -4.633822    .3965645
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|    8.38164   1.726527                      5.594444    12.55744
------------------------------------------------------------------------------------

. 
. 
. 
. svy linearized, subpop(if tookpost==1)  : regress bias_change HillaryVote polint age educ gender2 race_black his
> panic2
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        878
Number of PSUs     =       878                  Population size   = 834.354495
                                                Subpop. no. obs   =        693
                                                Subpop. size      = 627.304424
                                                Design df         =        877
                                                F(   7,    871)   =       3.56
                                                Prob > F          =     0.0009
                                                R-squared         =     0.0428

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 HillaryVote |   .7375145   .2693021     2.74   0.006     .2089627    1.266066
      polint |   .2529619    .148849     1.70   0.090    -.0391799    .5451038
         age |    .004217   .0079016     0.53   0.594    -.0112914    .0197253
        educ |  -.0124076   .0734657    -0.17   0.866    -.1565967    .1317815
     gender2 |   -.170928   .2471155    -0.69   0.489    -.6559349    .3140788
  race_black |   .4477589   .3483891     1.29   0.199    -.2360149    1.131533
   hispanic2 |   .6817574    .396305     1.72   0.086    -.0960596    1.459574
       _cons |   -1.04294    .573104    -1.82   0.069    -2.167755    .0818757
------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : regress bias_change HillaryVote age educ gender2 race_blac
> k hispanic2
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        980
Number of PSUs     =       980                  Population size   = 978.425741
                                                Subpop. no. obs   =        412
                                                Subpop. size      = 422.619014
                                                Design df         =        979
                                                F(   6,    974)   =       3.18
                                                Prob > F          =     0.0043
                                                R-squared         =     0.0576

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 HillaryVote |   1.042011   .3025642     3.44   0.001     .4482625     1.63576
         age |    .004318   .0105215     0.41   0.682    -.0163293    .0249652
        educ |  -.0451418   .0871557    -0.52   0.605    -.2161752    .1258916
     gender2 |  -.4752917   .2817955    -1.69   0.092    -1.028284     .077701
  race_black |   .1457587   .4622296     0.32   0.753    -.7613161    1.052834
   hispanic2 |   .4118756   .4828922     0.85   0.394    -.5357473    1.359499
       _cons |  -.1167632   .7653481    -0.15   0.879    -1.618675    1.385148
------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : regress bias_change HillaryVote age educ gender2 race_black
>  hispanic2
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        910
Number of PSUs     =       910                  Population size   = 860.788581
                                                Subpop. no. obs   =        281
                                                Subpop. size      = 204.685409
                                                Design df         =        909
                                                F(   6,    904)   =       2.32
                                                Prob > F          =     0.0317
                                                R-squared         =     0.0436

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 HillaryVote |   .0505067   .4779439     0.11   0.916    -.8874952    .9885085
         age |   .0020539   .0107393     0.19   0.848    -.0190228    .0231305
        educ |    .023643   .1217168     0.19   0.846    -.2152355    .2625215
     gender2 |   .5832123   .4194912     1.39   0.165    -.2400716    1.406496
  race_black |   1.072776   .4746495     2.26   0.024       .14124    2.004313
   hispanic2 |   1.081547    .618926     1.75   0.081    -.1331434    2.296237
       _cons |  -.9817597    .773343    -1.27   0.205    -2.499505    .5359856
------------------------------------------------------------------------------

. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias1 HillaryVote polint IntXHillary age educ gender2 race
> _black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        881
Number of PSUs     =       881                  Population size   = 835.893327
                                                Subpop. no. obs   =        696
                                                Subpop. size      = 628.843256
                                                Design df         =        880

                                                Censoring of obs:
                                                   Uncensored     =        488
Limits: lower = 0                                  Left-censored  =        173
        upper = 10                                 Right-censored =         35

                                                F(   8,    873)   =      39.67
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       HillaryVote |  -.1599832   .9202465    -0.17   0.862    -1.966117    1.646151
            polint |  -1.908964   .3476729    -5.49   0.000    -2.591329   -1.226599
       IntXHillary |   2.239517   .3756776     5.96   0.000     1.502188    2.976846
               age |  -.0004462    .012387    -0.04   0.971    -.0247577    .0238654
              educ |   .0339589   .1454205     0.23   0.815    -.2514527    .3193704
           gender2 |   .2912903   .3815123     0.76   0.445      -.45749     1.04007
        race_black |  -.7556327   .5097952    -1.48   0.139    -1.756189    .2449236
         hispanic2 |  -1.615995   1.005772    -1.61   0.108    -3.589988    .3579967
             _cons |   4.996307   1.233511     4.05   0.000     2.575341    7.417274
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   10.64446   1.321038                      8.343323    13.58026
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 HillaryVote polint  IntXHillary age educ gender2 rac
> e_black hispanic2, ul ll 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        880
Number of PSUs     =       880                  Population size   = 836.981286
                                                Subpop. no. obs   =        695
                                                Subpop. size      = 629.931214
                                                Design df         =        879

                                                Censoring of obs:
                                                   Uncensored     =        429
Limits: lower = 0                                  Left-censored  =        195
        upper = 10                                 Right-censored =         71

                                                F(   8,    872)   =      37.54
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       HillaryVote |  -.0512029    1.14904    -0.04   0.964    -2.306386     2.20398
            polint |  -2.000845   .3774646    -5.30   0.000    -2.741683   -1.260008
       IntXHillary |   2.829805   .4594532     6.16   0.000     1.928052    3.731558
               age |   .0121451   .0136554     0.89   0.374    -.0146558    .0389461
              educ |  -.0528786   .1891818    -0.28   0.780    -.4241792    .3184221
           gender2 |   .0648855   .4657937     0.14   0.889    -.8493121    .9790832
        race_black |  -.5001224   .5704097    -0.88   0.381    -1.619646    .6194016
         hispanic2 |  -.9487799   1.353306    -0.70   0.483    -3.604869    1.707309
             _cons |   4.124681   1.287543     3.20   0.001     1.597664    6.651699
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   13.98009   1.881198                      10.73525    18.20572
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 Media_Bias1 HillaryVote polint IntXHillary age educ 
> gender2 race_black hispanic2, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        878
Number of PSUs     =       878                  Population size   = 834.354495
                                                Subpop. no. obs   =        693
                                                Subpop. size      = 627.304424
                                                Design df         =        877

                                                Censoring of obs:
                                                   Uncensored     =        429
Limits: lower = 0                                  Left-censored  =        193
        upper = 10                                 Right-censored =         71

                                                F(   9,    869)   =      52.95
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .7871226   .0968712     8.13   0.000     .5969961    .9772491
       HillaryVote |  -.3558612   .9595399    -0.37   0.711    -2.239124    1.527401
            polint |  -.9978685   .2962537    -3.37   0.001    -1.579318   -.4164194
       IntXHillary |   1.628858   .4189174     3.89   0.000     .8066602    2.451056
               age |   .0096048    .011156     0.86   0.390    -.0122908    .0315004
              educ |  -.0411745   .1378384    -0.30   0.765    -.3117061    .2293571
           gender2 |  -.0145818   .3805901    -0.04   0.969    -.7615556    .7323919
        race_black |   .0897063   .4405949     0.20   0.839    -.7750373    .9544498
         hispanic2 |   .0096643    .827267     0.01   0.991     -1.61399    1.633319
             _cons |   .4363991   1.168381     0.37   0.709     -1.85675    2.729548
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.07387   1.368282                       7.71653    13.15135
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1)  : regress bias_change HillaryVote polint IntXHillary age educ gender2 ra
> ce_black hispanic2
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        878
Number of PSUs     =       878                  Population size   = 834.354495
                                                Subpop. no. obs   =        693
                                                Subpop. size      = 627.304424
                                                Design df         =        877
                                                F(   8,    870)   =       3.15
                                                Prob > F          =     0.0016
                                                R-squared         =     0.0443

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
 HillaryVote |   .0447456   .7479061     0.06   0.952    -1.423149     1.51264
      polint |   .1270183   .1965235     0.65   0.518     -.258693    .5127296
 IntXHillary |   .2690827    .274007     0.98   0.326    -.2687033    .8068686
         age |   .0045139   .0078521     0.57   0.566    -.0108972    .0199249
        educ |  -.0107257    .073235    -0.15   0.884    -.1544621    .1330106
     gender2 |  -.1697879   .2463339    -0.69   0.491    -.6532606    .3136848
  race_black |   .4585312   .3490681     1.31   0.189    -.2265752    1.143638
   hispanic2 |   .6984223   .4027895     1.73   0.083    -.0921215    1.488966
       _cons |   -.744963    .657673    -1.13   0.258     -2.03576    .5458338
------------------------------------------------------------------------------

. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias1 sdem wdem ldem lrep wrep srep polint daysprior, ul l
> l 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        986
Number of PSUs     =       986                  Population size   = 992.513382
                                                Subpop. no. obs   =        801
                                                Subpop. size      = 785.463311
                                                Design df         =        985

                                                Censoring of obs:
                                                   Uncensored     =        572
Limits: lower = 0                                  Left-censored  =        191
        upper = 10                                 Right-censored =         38

                                                F(   8,    978)   =      23.35
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   3.028553   .5405507     5.60   0.000      1.96779    4.089317
              wdem |   .9674802   .6557801     1.48   0.140    -.3194065    2.254367
              ldem |   2.066973   .5288843     3.91   0.000     1.029103    3.104842
              lrep |  -3.304187   .8145314    -4.06   0.000    -4.902603    -1.70577
              wrep |  -2.444231   .6559193    -3.73   0.000    -3.731391   -1.157071
              srep |  -2.271405   .6742464    -3.37   0.001    -3.594529   -.9482802
            polint |   -.708803   .1943841    -3.65   0.000    -1.090258   -.3273484
         daysprior |   .0473806   .0396591     1.19   0.232    -.0304453    .1252066
             _cons |   3.175763   1.245543     2.55   0.011     .7315416    5.619985
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   12.00699   1.409648                      9.536267    15.11785
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 sdem wdem ldem lrep wrep srep polint dayspost, ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        985
Number of PSUs     =       985                  Population size   =  993.60134
                                                Subpop. no. obs   =        800
                                                Subpop. size      = 786.551269
                                                Design df         =        984

                                                Censoring of obs:
                                                   Uncensored     =        510
Limits: lower = 0                                  Left-censored  =        214
        upper = 10                                 Right-censored =         76

                                                F(   8,    977)   =      27.25
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   4.380076   .6534476     6.70   0.000     3.097765    5.662387
              wdem |   1.653941   .5965018     2.77   0.006     .4833788    2.824503
              ldem |   2.184621   .6906647     3.16   0.002     .8292761    3.539966
              lrep |  -4.505473   .7863889    -5.73   0.000    -6.048665   -2.962281
              wrep |  -2.379408   .7294259    -3.26   0.001    -3.810817   -.9479984
              srep |  -2.855494   .8174449    -3.49   0.000     -4.45963   -1.251359
            polint |  -.6495371   .2475273    -2.62   0.009    -1.135279   -.1637951
          dayspost |  -.0001806   .0297956    -0.01   0.995    -.0586508    .0582896
             _cons |   4.177903   .5989062     6.98   0.000     3.002623    5.353183
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|    15.1798    1.93692                      11.81735    19.49898
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias1 sdem wdem ldem lrep wrep srep daysprior,
>  ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        999
Number of PSUs     =       999                  Population size   = 998.055327
                                                Subpop. no. obs   =        431
                                                Subpop. size      = 442.248601
                                                Design df         =        998

                                                Censoring of obs:
                                                   Uncensored     =        267
Limits: lower = 0                                  Left-censored  =        138
        upper = 10                                 Right-censored =         26

                                                F(   7,    992)   =      23.45
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   4.733414   .9006073     5.26   0.000     2.966112    6.500715
              wdem |   3.992309   1.128671     3.54   0.000     1.777469    6.207149
              ldem |   4.370886   .9057884     4.83   0.000     2.593418    6.148354
              lrep |   -3.42811   1.389309    -2.47   0.014    -6.154413   -.7018078
              wrep |  -2.115114   1.183973    -1.79   0.074    -4.438476    .2082485
              srep |  -1.642665   .9822377    -1.67   0.095    -3.570154    .2848228
         daysprior |    .030887   .0517152     0.60   0.550    -.0705961    .1323701
             _cons |   .2147566   1.682505     0.13   0.898    -3.086897     3.51641
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   15.27486    2.56492                      10.98682    21.23649
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias2 sdem wdem ldem lrep wrep srep dayspost, 
> ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 998.920371
                                                Subpop. no. obs   =        430
                                                Subpop. size      = 443.113644
                                                Design df         =        997

                                                Censoring of obs:
                                                   Uncensored     =        227
Limits: lower = 0                                  Left-censored  =        149
        upper = 10                                 Right-censored =         54

                                                F(   7,    991)   =      25.56
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   6.101443   1.052539     5.80   0.000     4.035997     8.16689
              wdem |   4.224719   1.178723     3.58   0.000     1.911655    6.537782
              ldem |   4.268709   1.011104     4.22   0.000     2.284574    6.252844
              lrep |  -4.106655   1.382429    -2.97   0.003     -6.81946   -1.393851
              wrep |  -3.043013   1.259462    -2.42   0.016    -5.514513   -.5715122
              srep |  -3.105011   1.227609    -2.53   0.012    -5.514005   -.6960167
          dayspost |    .060388   .0371832     1.62   0.105    -.0125784    .1333544
             _cons |   .4850589   1.029494     0.47   0.638    -1.535165    2.505283
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   19.43578   3.570454                       13.5532    27.87162
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias1 sdem wdem ldem lrep wrep srep daysprior, 
> ul ll
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        999
Number of PSUs     =       999                  Population size   = 999.317882
                                                Subpop. no. obs   =        370
                                                Subpop. size      =  343.21471
                                                Design df         =        998

                                                Censoring of obs:
                                                   Uncensored     =        305
Limits: lower = 0                                  Left-censored  =         53
        upper = 10                                 Right-censored =         12

                                                F(   7,    992)   =       6.91
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias1 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   .9637974    .529185     1.82   0.069    -.0746456     2.00224
              wdem |  -.8358002   .7093965    -1.18   0.239     -2.22788    .5562796
              ldem |   .0280808   .5278748     0.05   0.958    -1.007791    1.063953
              lrep |  -2.841526   .8872179    -3.20   0.001    -4.582552   -1.100499
              wrep |  -2.760667     .75894    -3.64   0.000    -4.249968   -1.271366
              srep |  -2.062823   1.159405    -1.78   0.076    -4.337976    .2123287
         daysprior |   .0643692   .0584415     1.10   0.271    -.0503131    .1790515
             _cons |   2.642373   1.766911     1.50   0.135    -.8249132    6.109659
-------------------+----------------------------------------------------------------
 var(e.Media_Bias1)|   8.025042   1.307032                      5.829678    11.04715
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias2 sdem wdem ldem lrep wrep srep dayspost, u
> l ll 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        999
Number of PSUs     =       999                  Population size   = 999.540797
                                                Subpop. no. obs   =        370
                                                Subpop. size      = 343.437625
                                                Design df         =        998

                                                Censoring of obs:
                                                   Uncensored     =        283
Limits: lower = 0                                  Left-censored  =         65
        upper = 10                                 Right-censored =         22

                                                F(   7,    992)   =       9.25
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
              sdem |   1.914667   .6418673     2.98   0.003     .6551028    3.174232
              wdem |   .0364373   .5949221     0.06   0.951    -1.131004    1.203879
              ldem |   .0757676   .8025899     0.09   0.925     -1.49919    1.650725
              lrep |    -4.5298    .784373    -5.78   0.000     -6.06901   -2.990591
              wrep |  -1.846603   .8265523    -2.23   0.026    -3.468583   -.2246231
              srep |  -2.061518   1.239754    -1.66   0.097    -4.494342    .3713062
          dayspost |  -.0672851   .0418779    -1.61   0.108     -.149464    .0148938
             _cons |   4.901479   .6314183     7.76   0.000     3.662419    6.140539
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.13924   1.707607                       7.28577    14.11026
------------------------------------------------------------------------------------

. 
. 
. 
. svy linearized, subpop(if tookpost==1)  : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep srep polint day
> s, ul ll 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        983
Number of PSUs     =       983                  Population size   = 990.974549
                                                Subpop. no. obs   =        798
                                                Subpop. size      = 783.924478
                                                Design df         =        982

                                                Censoring of obs:
                                                   Uncensored     =        510
Limits: lower = 0                                  Left-censored  =        212
        upper = 10                                 Right-censored =         76

                                                F(   9,    974)   =      47.86
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .7958426   .0813754     9.78   0.000      .636153    .9555322
              sdem |    2.59791   .5521295     4.71   0.000     1.514421      3.6814
              wdem |    1.21526   .5739049     2.12   0.034     .0890393    2.341481
              ldem |   1.002147   .5741131     1.75   0.081     -.124482    2.128777
              lrep |  -2.540691   .7217931    -3.52   0.000    -3.957125   -1.124257
              wrep |    -.83501   .5913058    -1.41   0.158    -1.995378    .3253583
              srep |  -1.420328    .685978    -2.07   0.039    -2.766479   -.0741766
            polint |  -.3843369   .2418001    -1.59   0.112    -.8588413    .0901675
              days |   .0368188   .0195678     1.88   0.060    -.0015807    .0752183
             _cons |  -.7725132     1.0356    -0.75   0.456    -2.804757     1.25973
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.36056    1.37058                      7.991718    13.43155
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep sre
> p days, ul ll 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        997
Number of PSUs     =       997                  Population size   = 996.975698
                                                Subpop. no. obs   =        429
                                                Subpop. size      = 441.168971
                                                Design df         =        996

                                                Censoring of obs:
                                                   Uncensored     =        227
Limits: lower = 0                                  Left-censored  =        148
        upper = 10                                 Right-censored =         54

                                                F(   8,    989)   =      37.81
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .9677563   .1175706     8.23   0.000     .7370417    1.198471
              sdem |   2.783956   .8302323     3.35   0.001     1.154751    4.413161
              wdem |   1.614307   .9499194     1.70   0.090    -.2497665     3.47838
              ldem |   1.092826   .7866813     1.39   0.165    -.4509168    2.636569
              lrep |  -2.194745   1.208342    -1.82   0.070    -4.565934    .1764442
              wrep |  -1.413022   .9373973    -1.51   0.132    -3.252523    .4264779
              srep |  -1.610344   .7376486    -2.18   0.029    -3.057868   -.1628207
              days |   .0779006   .0272882     2.85   0.004     .0243517    .1314495
             _cons |  -4.318441   1.389776    -3.11   0.002    -7.045666   -1.591215
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   10.68893   1.775242                      7.716014     14.8073
------------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : tobit Media_Bias2 Media_Bias1 sdem wdem ldem lrep wrep srep
>  days, ul ll 
(running tobit on estimation sample)

Survey: Tobit regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 998.858679
                                                Subpop. no. obs   =        369
                                                Subpop. size      = 342.755507
                                                Design df         =        997

                                                Censoring of obs:
                                                   Uncensored     =        283
Limits: lower = 0                                  Left-censored  =         64
        upper = 10                                 Right-censored =         22

                                                F(   8,    990)   =      10.26
                                                Prob > F          =     0.0000

------------------------------------------------------------------------------------
                   |             Linearized
       Media_Bias2 |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------------+----------------------------------------------------------------
       Media_Bias1 |   .4867982   .1032922     4.71   0.000      .284103    .6894934
              sdem |   1.332279   .6481751     2.06   0.040      .060335    2.604223
              wdem |   .3750419   .5925932     0.63   0.527    -.7878312    1.537915
              ldem |   .1350068   .7775089     0.17   0.862    -1.390735    1.660748
              lrep |  -3.461189   .8209279    -4.22   0.000    -5.072134   -1.850244
              wrep |  -.9233571   .7913582    -1.17   0.244    -2.476276    .6295617
              srep |  -1.163379   1.203262    -0.97   0.334    -3.524594    1.197837
              days |  -.0154654   .0265962    -0.58   0.561    -.0676563    .0367256
             _cons |   2.454971    1.23613     1.99   0.047     .0292552    4.880687
-------------------+----------------------------------------------------------------
 var(e.Media_Bias2)|   9.012141   1.698877                      6.225484    13.04616
------------------------------------------------------------------------------------

. 
. 
. 
. 
. 
. svy linearized, subpop(if tookpost==1)  : regress bias_change sdem wdem ldem lrep wrep srep polint days
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        983
Number of PSUs     =       983                  Population size   = 990.974549
                                                Subpop. no. obs   =        798
                                                Subpop. size      = 783.924478
                                                Design df         =        982
                                                F(   8,    975)   =       1.96
                                                Prob > F          =     0.0488
                                                R-squared         =     0.0337

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sdem |    1.01438   .3428894     2.96   0.003     .3414996     1.68726
        wdem |   .5283965   .5218744     1.01   0.312    -.4957207    1.552514
        ldem |   .0560591   .4249692     0.13   0.895    -.7778931    .8900113
        lrep |  -.3514969   .4500094    -0.78   0.435    -1.234588    .5315938
        wrep |    .234322   .3796871     0.62   0.537    -.5107695    .9794135
        srep |   .0564164   .4440664     0.13   0.899    -.8150118    .9278446
      polint |   .0146617   .1858576     0.08   0.937    -.3500621    .3793855
        days |   .0165715   .0162492     1.02   0.308    -.0153155    .0484586
       _cons |  -.8855712    .857102    -1.03   0.302    -2.567533    .7963908
------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint==3)  : regress bias_change sdem wdem ldem lrep wrep srep days
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        997
Number of PSUs     =       997                  Population size   = 996.975698
                                                Subpop. no. obs   =        429
                                                Subpop. size      = 441.168971
                                                Design df         =        996
                                                F(   7,    990)   =       2.33
                                                Prob > F          =     0.0231
                                                R-squared         =     0.0637

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sdem |   .9656774   .3918305     2.46   0.014     .1967693    1.734586
        wdem |   .1320733   .6998821     0.19   0.850    -1.241339    1.505486
        ldem |  -.2249725   .4781697    -0.47   0.638    -1.163308    .7133631
        lrep |  -.2882903     .60399    -0.48   0.633    -1.473529    .8969486
        wrep |  -.3164755   .4640018    -0.68   0.495    -1.227009    .5940578
        srep |  -.1604922   .3285524    -0.49   0.625    -.8052265    .4842421
        days |   .0309652    .018532     1.67   0.095     -.005401    .0673315
       _cons |  -1.219876   .8542993    -1.43   0.154     -2.89631    .4565567
------------------------------------------------------------------------------

. 
. svy linearized, subpop(if tookpost==1 & polint<3)  : regress bias_change sdem wdem ldem lrep wrep srep days
(running regress on estimation sample)

Survey: Linear regression

Number of strata   =         1                  Number of obs     =        998
Number of PSUs     =       998                  Population size   = 998.858679
                                                Subpop. no. obs   =        369
                                                Subpop. size      = 342.755507
                                                Design df         =        997
                                                F(   7,    991)   =       1.15
                                                Prob > F          =     0.3289
                                                R-squared         =     0.0239

------------------------------------------------------------------------------
             |             Linearized
 bias_change |      Coef.   Std. Err.      t    P>|t|     [95% Conf. Interval]
-------------+----------------------------------------------------------------
        sdem |      .7249   .5882286     1.23   0.218    -.4294081    1.879208
        wdem |   .7401109   .6912346     1.07   0.285    -.6163307    2.096553
        ldem |   .2031467   .6732985     0.30   0.763    -1.118098    1.524392
        lrep |  -.6899429   .5650347    -1.22   0.222    -1.798737    .4188508
        wrep |   .7658758   .5832104     1.31   0.189     -.378585    1.910337
        srep |   .1468968   1.128297     0.13   0.896    -2.067212    2.361005
        days |  -.0103401   .0318267    -0.32   0.745    -.0727952    .0521149
       _cons |   .0739578   1.442614     0.05   0.959    -2.756951    2.904866
------------------------------------------------------------------------------

. log close
      name:  <unnamed>
       log:  C:\Users\kgoidel\Documents\Media_Bias_log.log
  log type:  text
 closed on:   3 Dec 2020, 11:18:05
------------------------------------------------------------------------------------------------------------------
